Import a Model Registry

Import a Model Registry

The model registry is a centralized repository for storing trained models, their metadata, versions, and associated artifacts. It allows for version control, management, and organization of models developed during the training phase. This enables easy access, retrieval, and deployment of models for various purposes.

Step 1: Accessing the Model Registry

Step 2: Import a Model Registry

  • Location & Model registry name: Select the location & a specific name for this model.

  • Container: Select the Pre-built container option to use as a supported framework.

  • Model framework & version: Choose a model training framework & suitable version that meets your requirements.

  • Access to training model stored on network volume: Select network volume as a data mount method for the training job.

    • Model repository: Specify the location where your model's registry is stored. It should be added to the "network-volume" section of the location path, e.g., "/network-volume/training-model".

    • Network volume: Select a network volume that you want to access from the training job. This network volume will be mounted at pre-defined folder.

  • Click the “Import” button to complete the process.

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